3 Design Trends that will Speed Up Science in 2024 (besides AI)

Scientists are stuck using old, slow tools to communicate science with, which slows down science. See how the system of science will change in 2024 to give scientists better tools so they can discover faster (and with less stress!).
Resources from vid:
#shorts video on faster scientific publishing with computational articles:
• Why Computational Note...
#shorts video on the machine-readability of #MyST Markdown articles:
• First scientific journ...
Want to create your first computational article? Check out #OpenSource MyST Markdown here:
mystmd.org
PEOPLE
Curvenote:
curvenote.com/
Betterposters Blog
betterposters.blogspot.com/
MetaScience Conference:
• A collaborative approa...
EvergreenData
stephanieevergreen.com/
POSTER STUDIES
Accessibility study here:
figshare.com/articles/poster/...
More poster study results:
www.qeios.com/read/P7N5BO
Poster eye tracking examples/studies:
/ 1554829605638311936

Пікірлер: 7

  • @Dshado
    @Dshado6 ай бұрын

    Hi! In 2020 I found your channel and have been keeping up with your work! You've been doing amazing stuff! That being said, I never managed to get a "Better Poster" into a poster presentation. I always tried to give it as an option, but my supervisors would essentially shut it down. The problem, from their perspective, was that the better poster is essentially too nebulous. For what I was doing, the amount on information that needed to be written just does not fit into a better poster. Having less information does not work as well - as you need the information to have the conclusions. This poster design would work in a big conference of random scientists, but not in a singular topic conference. In a single topic conference you really need to give all the details. That being said, I am very interested in the future of better science, because some posters are just the worst.

  • @MikeMorrisonPhD

    @MikeMorrisonPhD

    6 ай бұрын

    Thank you so much! Getting betterposters past supervisors is a common struggle. Couple questions: 1. Really, the takeaways and big figures matter more than the particular layouts. Is that doable? 2. How many posters in a room at the specialist conferences? 3. Are presenters standing next to them?

  • @curvenote
    @curvenote6 ай бұрын

    🚀💚

  • @sebastiangerard9548
    @sebastiangerard95486 ай бұрын

    8:34 Do you mean that we use tools like StableDiffusion to generate illustrations to get our points across? I had thought about the possibility of generating full presentations, but getting good training data in a format that is easy to process (i.e. not ugly beamer presentations, even though they are very easy to process if you have the code) seems quite difficult.

  • @MikeMorrisonPhD

    @MikeMorrisonPhD

    5 ай бұрын

    Yep exactly! Just stablediffusion images instead of stock photos. Long term though I hope generative images can become good enough that you can accurately visualize things that we don't have the power to observe dirtectly. Full presentation visualization would be wonderful if it was good, but yeah how do you get training data when your job is to invent brand-new knowledge?

  • @ahundt
    @ahundt5 ай бұрын

    What about research that transforms the way research is done or should be done? I’m an AI researcher and even there not everything is amenable to modular method drop-in. For example, back in the day HIV was extremely marginalized due to the language of the research and discussions of the people, and improving that changed the research directions and outcomes. An AI extracted snippet can’t capture that. Btw I refer to your better posters video (#2) all the time, short summaries are definitely useful, but not always sufficient!

  • @MikeMorrisonPhD

    @MikeMorrisonPhD

    4 ай бұрын

    Your HIV example is beautiful (in a tragic way, ofc) and makes a good point. I'm still kind of wondering about the place for human narrative ability in the AI scientific-article future. I guess one question: Do you think there will always be an article? Or do you think we'll eventually consume all content through AI summary of data/studies? Asking generally and for science I guess. BTW - The endgame is still progressive disclosure. As much information as you want, when you want it. Without ever overloading you, or hitting bottom. It's way, way easier to accomplish that with articles than posters though! (especially computational articles)